Adam Martini
About Adam Martini
Adam Martini is a Senior Software/Data Engineer currently working at Hopper, with a diverse background in software engineering and traditional Chinese medicine.
Current Role at Hopper
Adam Martini currently works as a Senior Software/Data Engineer at Hopper in a remote capacity. He has been involved in migrating core Hopper microservices and data pipelines to a secure Google Cloud Platform (GCP) project for the launch of the Capital One Travel Portal. He rewrote the Python ingestion layer to enhance stability, maintainability, and performance.
Previous Experience at Pearson
Adam Martini worked at Pearson as a Lead Software Engineer for six months from 2020 to 2021. His role was remote. Specific projects or initiatives during his tenure at Pearson are not detailed among the provided information.
Time at Nike
Adam Martini has had multiple stints at Nike. From 2017 to 2020, he worked as a Senior Software Engineer in a hybrid remote setup based out of Beaverton, OR. He also served as a contract Senior Software Engineer from 2016 to 2017 for five months. His exact contributions during these periods are not specified among the provided facts.
Education and Academic Background
Adam Martini holds a Master's Degree in Computer Science from the University of Oregon, which he completed in 2014 after a year-long program. He also earned a Bachelor of Science in Computer Science—focusing on databases and informatics track—from the same institution in 2013. Additionally, he studied Traditional Chinese Medicine and Chinese Herbology at the Academy of Classical Oriental Sciences, completing a Diploma after a four-year program in 2006. He also attended the University of Colorado Boulder from 1998 to 2000, focusing on Computer Science.
Notable Projects and Technical Implementations
Adam Martini has been instrumental in several high-profile technical implementations. He implemented a custom Airflow deployment on Google Kubernetes Engine (GKE) at Hopper, enabling third-party integration for financial automation. He developed a Spanner CDC streaming service in Scala to provide real-time views over history tables in BigQuery and deprecated legacy data pipelines by adopting an Extract, Load, Transform (ELT) approach, writing data directly to BigQuery. Additionally, he replaced a legacy feature flags service with a LaunchDarkly wrapper to ensure consistent experimentation results and tracking within a session.